Posts
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promise-polyfill
Lightweight ES6 Promise polyfill for the browser and node. A+ Compliant
Lightweight ES6 Promise polyfill for the browser and node. Adheres closely to the spec. It is a perfect polyfill IE or any other browser that does not support native promises.
For API information about Promises, please check out this article HTML5Rocks article.
It is extremely lightweight. < 1kb Gzipped
Tags: #javascript
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bootstrap-sortable
adding sorting ability to bootstrap table
You should add the provided “moment.js” library, or get yourself a copy from http://momentjs.com.
Tags: #javascript
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prometheus-metrics-bundle
Symfony 5/6 Prometheus Metrics Bundle
Open a command console, enter your project directory and execute the following command to download the latest stable version of this bundle:
composer require artprima/prometheus-metrics-bundleThis command requires you to have Composer installed globally, as explained in the installation chapter of the Composer documentation.
Tags: #php • symfony • symfony-bundle
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CloudPeler
CrimeFlare is a useful tool for bypassing websites protected by CloudFlare WAF, with this tool you can easily see the real IP of websites that have been protected by CloudFlare. The resulting information is certainly very useful for conducting further penetration testing, and analyzing websites with the same server.
This tool serves to find the original IP behind websites that have been protected by CloudFlare, the information generated can be useful for further penetration. The information generated by this tool is as follows.
- CloudFlare IP
- CloudFlare NS1
- CloudFlare NS2
- Real IP
- Hostname
- Organization
- Address (Country, City, Region, Postal Code)
- Location
- Time Zone
Tags: #php • bypass-cloudflare • bypass-waf
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documentserver_community
Document server for onlyoffice
This is a easy way to get ONLYOFFICE integrated in Nextcloud. It is developed purely as a way for home users to not have to deal with docker images, reverse proxies and other things. It is not aimed at anything beyond that - if you need it to scale, use the docker image, packages or other methods, those will always be faster and more scalable.
The work on this was sponsored by Nextcloud GmbH for the private home user community. There is no commercial support available and there will not be.
Tags: #php
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socket-io-typescript-chat
A chat application implemented using Socket.io, TypeScript, Angular and Angular Material components
Read the blog post with details about this project: Real Time Apps with TypeScript: Integrating Web Sockets, Node & Angular
Tags: #typescript • socket • angular
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node-website-scraper
Download website to local directory (including all css, images, js, etc.)
Options Plugins Log and debug Frequently Asked Questions Contributing Code of Conduct Download the website to the local directory (including all css, images, js, etc.)
Note: by default dynamic websites (where content is loaded by js) may be saved not correctly because
website-scraperdoesn’t execute js, it only parses http responses for html and css files. If you need to download a dynamic website take a look at website-scraper-puppeteer.This module is an Open Source Software maintained by one developer in free time. If you want to thank the author of this module you can use GitHub Sponsors or Patreon.
Tags: #javascript • website-scraper • scraper
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sabnzbd
SABnzbd - The automated Usenet download tool
SABnzbd has a few dependencies you’ll need before you can get running. If you’ve previously run SABnzbd from one of the various Linux packages, then you likely already have all the needed dependencies. If not, here’s what you’re looking for:
python(Python 3.8 and above, often calledpython3)- Python modules listed in
requirements.txt. Install withpython3 -m pip install -r requirements.txt -U par2(Multi-threaded par2 installation guide can be found here)unrar(make sure you get the “official” non-free version of unrar)
Optional:
- See
requirements.txt
Your package manager should supply these. If not, we’ve got links in our installation guide.
Tags: #python • usenet • binary-newsreader
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swin-transformer-pytorch
Implementation of the Swin Transformer in PyTorch.
Implementation of the Swin Transformer architecture. This paper presents a new vision Transformer, called Swin Transformer, that capably serves as a general-purpose backbone for computer vision. Challenges in adapting Transformer from language to vision arise from differences between the two domains, such as large variations in the scale of visual entities and the high resolution of pixels in images compared to words in text. To address these differences, we propose a hierarchical Transformer whose representation is computed with shifted windows. The shifted windowing scheme brings greater efficiency by limiting self-attention computation to non-overlapping local windows while also allowing for cross-window connection. This hierarchical architecture has the flexibility to model at various scales and has linear computational complexity with respect to image size. These qualities of Swin Transformer make it compatible with a broad range of vision tasks, including image classification (86.4 top-1 accuracy on ImageNet-1K) and dense prediction tasks such as object detection (58.7 box AP and 51.1 mask AP on COCO test-dev) and semantic segmentation (53.5 mIoU on ADE20K val). Its performance surpasses the previous state-of-the-art by a large margin of +2.7 box AP and +2.6 mask AP on COCO, and +3.2 mIoU on ADE20K, demonstrating the potential of Transformer-based models as vision backbones.
This is NOT the official repository of the Swin Transformer. At the moment in time the official code of the authors is not available yet but can be found later at: https://github.com/microsoft/Swin-Transformer.
All credits go to the authors Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin and Baining Guo.
Tags: #python • deep-learning • machine-learning
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nanoid.rb
Ruby implementation of Nanoid, secure URL-friendly unique ID generator
This is ReadMe for version 2.0, if you looking for version compatible with NanoID 1.x look in branch v1.x.
A tiny, secure URL-friendly unique string ID generator.
Ruby implementation of original NanoID https://github.com/ai/nanoid
Tags: #ruby
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